Data silos result in inconsistencies and operational inefficiencies, says John Williams, executive director of enterprise data and advanced analytics at RaceTrac, an operator of convenience stores.

Organizations that invest in analytics without an aligned data & analytics strategy are burning money in the name of data. Here’s how you can create a successful data strategy that delivers value.

Use these eleven lenses to define your data-analytics strategy. Unfortunately, the framework won’t replace a great leader who understands how to execute these programs successfully.

The key to a solid data strategy is two-fold: people and culture breaking down silos, and getting the technological data flow and availability right. Subscribe to the Daily newsletter.

I propose a framework that I call the Four Pillars of Data and Analytics Strategy: data literacy, data acquisition and governance, knowledge mining, and business implementation.

A traditional data analytics strategy does not cut it in the modern business environment — it needs to be modernised and prioritised. Today, fewer than 50% of documented corporate strategies mention ...

Building the case for aligning data and analytics strategies. As data sources become more abundant, it’s important for organisations to develop a clear data strategy, which lays out how data ...

In my experience developing data and analytics rich applications, this type of testing and validation is often a second thought compared to unit, functional, performance, and security testing.

Data analytics is the process of analyzing data trends to gain knowledge and insight for better decision making. Written by eWEEK content and product recommendations are editorially independent ...